Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging

Christian Ledig, Konstantinos Kamnitsas, Juha Koikkalainen, Jussi P. Posti, Riikka S.K. Takala, Ari Katila, Janek Frantzén, Henna Ala-Seppälä, Anna Kyllönen, Henna Riikka Maanpää, Jussi Tallus, Jyrki Lötjönen, Ben Glocker, Olli Tenovuo, Daniel Rueckert

Research output: Contribution to journalArticleScientificpeer-review

24 Citations (Scopus)


Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potential of a recently proposed automatic segmentation method to support the outcome prediction of TBI. Specifically, we extract meaningful cross-sectional and longitudinal measurements from acute- and chronic-phase MR images. We calculate regional volume and asymmetry features at the acute/subacute stage of the injury (median: 19 days after injury), to predict the disability outcome of 67 patients at the chronic disease stage (median: 229 days after injury). Our results indicate that small structural volumes in the acute stage (e.g. of the hippocampus, accumbens, amygdala) can be strong predictors for unfavourable disease outcome. Further, group differences in atrophy are investigated. We find that patients with unfavourable outcome show increased atrophy. Among patients with severe disability outcome we observed a significantly higher mean reduction of cerebral white matter (3.1%) as compared to patients with low disability outcome (0.7%).
Original languageEnglish
Article numbere0188152
JournalPLoS ONE
Issue number11
Publication statusPublished - 1 Nov 2017
MoE publication typeA1 Journal article-refereed


Funding for this research was provided by the 7th Framework Programme by the European Commission (270259); BG, CL acknowledge funding support from Engineering and Physical Sciences Research Council (EP/N023668/1); KK acknowledges funding support from Imperial College PhD Scholarship. JPP acknowledges funding support from Government’s Special Financial Transfer tied to academic research in Health Sciences (Finland) and Emil Aaltonen Foundation. Combinostics provided support in the form of salaries for JK and JL.


  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Brain Injuries, Traumatic/diagnostic imaging
  • Cross-Sectional Studies
  • Female
  • Humans
  • Longitudinal Studies
  • Magnetic Resonance Imaging/methods
  • Male
  • Middle Aged
  • Young Adult


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